|Title:||Knowledge-based approach to risk management of software development project|
|Subject:||Software engineering -- Management|
Computer software -- Quality control
Expert systems (Computer science)
Hong Kong Polytechnic University -- Dissertations
|Pages:||ix, 100 leaves : ill. ; 30 cm|
|Abstract:||It is not uncommon for software projects to be delayed in implementation, run out of budget and that the delivered system does not meet users' requirements. Most of these unsatisfactory consequences can be avoided or mitigated if they have been properly addressed before they have evolved as a problem, or rectified at the early stage of the development cycle, respectively. Risk management is a science that focuses the development team's attention on potential problems. This ensures that the problems are monitored on a continuing basis and also that appropriate actions are taken to avert or mitigate the former before they yield serious impact on the project. The traditional risk management models and guidelines which are derived from mathematical models are too rigid to be accepted by management because management makes decisions that are flexible, inconsistent in nature and are often based on experience and rules of thumb. The major objective of this study is to resolve some of the difficulties associated with traditional risk management models by incorporating into a risk management system experts knowledge (information), rules of thumb, and educated guesses that are unique to software development environment so as to supplement the weakness of the traditional models. Hence Knowledge-based approach is undertaken to implement the task. A prototype has been developed using the knowledge-based approach. Three Clinical Information Systems have been used to assess the effectiveness of the risk management system developed. The actual outcomes and the compiled results from the prototype are compared, two out of the three cases have been found to be matched. Limitations and further expansion of the prototype are discussed after the evaluation.|
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